Create a Data Pipeline, Lake, and Warehouse using AWS (PART 2)

Описание: Join us online to learn about some AWS services that are commonly used to solve data processing and storage challenges.

During part 1 of this 2 part series, we will dive into Kinesis Data Streams, Firehose Delivery Streams, Kinesis Stream Analytics Applications, and creation of a data lake using S3 and Athena.

Part 2 of this series (May 27th) will look at expanding the pipeline to create a Redshift data warehouse, integrating Redshift with S3 using Redshift Spectrum, and creating a shared application data layer with Elasticsearch.